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Variational Inference: A Review for Statisticians

4 January 2016

Papers citing "Variational Inference: A Review for Statisticians"

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Title
Bayesian Inference Forgetting Shaopeng Fu Fengxiang He Yue Xu Dacheng Tao MU 88 12 0 16 Jan 2021
Efficient Semi-Implicit Variational Inference Vincent Moens Hang Ren A. Maraval Rasul Tutunov Jun Wang H. Ammar 161 7 0 15 Jan 2021
PAC-Bayes Bounds on Variational Tempered Posteriors for Markov Models Imon Banerjee Vinayak A. Rao Harsha Honnappa 90 12 0 13 Jan 2021
Bayesian neural networks for weak solution of PDEs with uncertainty quantification Xiaoxuan Zhang K. Garikipati AI4CE 86 12 0 13 Jan 2021
Preconditioned training of normalizing flows for variational inference in inverse problems Ali Siahkoohi G. Rizzuti M. Louboutin Philipp A. Witte Felix J. Herrmann 109 32 0 11 Jan 2021
Block-Term Tensor Decomposition Model Selection and Computation: The Bayesian Way Paris V. Giampouras A. Rontogiannis Eleftherios Kofidis 94 18 0 08 Jan 2021
BDNNSurv: Bayesian deep neural networks for survival analysis using pseudo values Dai Feng Lili Zhao 48 32 0 07 Jan 2021
Logistic Normal Multinomial Factor Analyzers for Clustering Microbiome Data Wangshu Tu Sanjeena Subedi 40 4 0 06 Jan 2021
A Multilayer Correlated Topic Model Ye Tian 24 1 0 02 Jan 2021
Minimum Excess Risk in Bayesian Learning Aolin Xu Maxim Raginsky 427 40 0 29 Dec 2020
Exploiting Chain Rule and Bayes' Theorem to Compare Probability Distributions Huangjie Zheng Mingyuan Zhou OT 163 29 0 28 Dec 2020
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization Zhuoran Yang Yufeng Zhang Yongxin Chen Zhaoran Wang OT 91 5 0 21 Dec 2020
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 132 51 0 20 Dec 2020
Bayesian unsupervised learning reveals hidden structure in concentrated electrolytes Penelope Jones Fabian Coupette A. Härtel A. Lee 21 9 0 19 Dec 2020
Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection Di Feng Zining Wang Yiyang Zhou Lars Rosenbaum Fabian Timm Klaus C. J. Dietmayer Masayoshi Tomizuka Wei Zhan 65 23 0 18 Dec 2020
Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings Henning Lange Bingqing Chen Mario Berges S. Kar 53 6 0 16 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 172 127 0 16 Dec 2020
Variational State and Parameter Estimation Jarrad Courts J. Hendriks A. Wills Thomas B. Schon B. Ninness 48 10 0 14 Dec 2020
Bayes DistNet -- A Robust Neural Network for Algorithm Runtime Distribution Predictions Jake E. Tuero M. Buro OOD 55 0 0 14 Dec 2020
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning Christina Petschnigg Juergen Pilz UQCV 3DPC 43 7 0 13 Dec 2020
Gauge equivariant neural networks for quantum lattice gauge theories Di Luo Giuseppe Carleo B. Clark J. Stokes 71 48 0 09 Dec 2020
Variational System Identification for Nonlinear State-Space Models Jarrad Courts A. Wills Thomas B. Schon B. Ninness 64 5 0 08 Dec 2020
Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems Ryan Lopez P. Atzberger DRL AI4CE 60 13 0 07 Dec 2020
Forecasting: theory and practice F. Petropoulos D. Apiletti Vassilios Assimakopoulos M. Z. Babai Devon K. Barrow ... J. Arenas Xiaoqian Wang R. L. Winkler Alisa Yusupova F. Ziel AI4TS 138 382 0 04 Dec 2020
Efficient semidefinite-programming-based inference for binary and multi-class MRFs Chirag Pabbaraju Po-Wei Wang J. Zico Kolter 41 3 0 04 Dec 2020
A similarity-based Bayesian mixture-of-experts model Tianfang Zhang R. Bokrantz Jimmy Olsson 45 3 0 03 Dec 2020
On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering Venugopal Mani Ramasubramanian Balasubramanian Sushant Kumar Abhinav Mathur Kannan Achan CML BDL EgoV 122 1 0 02 Dec 2020
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? Maren Hackenberg Philipp Harms Michelle Pfaffenlehner Astrid Pechmann Janbernd Kirschner Thorsten Schmidt Harald Binder 45 4 0 01 Dec 2020
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows Cheng Zhang BDL 75 27 0 01 Dec 2020
A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces Rafi Trad M. Spiliopoulou 16 2 0 30 Nov 2020
Latent Template Induction with Gumbel-CRFs Yao Fu Chuanqi Tan Bin Bi Mosha Chen Yansong Feng Alexander M. Rush BDL 72 13 0 29 Nov 2020
Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval Frederik Warburg Martin Jørgensen Javier Civera Søren Hauberg UQCV 99 37 0 25 Nov 2020
Use of Student's t-Distribution for the Latent Layer in a Coupled Variational Autoencoder Kevin R. Chen Daniel Svoboda Kenric P. Nelson DRL 20 2 0 21 Nov 2020
Understanding Variational Inference in Function-Space David R. Burt Sebastian W. Ober Adrià Garriga-Alonso Mark van der Wilk BDL 71 44 0 18 Nov 2020
Optimized Auxiliary Particle Filters: adapting mixture proposals via convex optimization Nicola Branchini Victor Elvira 92 19 0 18 Nov 2020
Efficient Variational Inference for Sparse Deep Learning with Theoretical Guarantee Jincheng Bai Qifan Song Guang Cheng BDL 60 41 0 15 Nov 2020
Clustering microbiome data using mixtures of logistic normal multinomial models Yuan Fang Sanjeena Subedi 28 10 0 12 Nov 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges Moloud Abdar Farhad Pourpanah Sadiq Hussain Dana Rezazadegan Li Liu ... Xiaochun Cao Abbas Khosravi U. Acharya V. Makarenkov S. Nahavandi BDL UQCV 375 1,952 0 12 Nov 2020
A Nonconvex Framework for Structured Dynamic Covariance Recovery Katherine Tsai Mladen Kolar Oluwasanmi Koyejo 62 3 0 11 Nov 2020
On the Consistency of a Random Forest Algorithm in the Presence of Missing Entries Irving Gómez-Méndez Émilien Joly 73 2 0 10 Nov 2020
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization M. Akbulut Utku Bozdoğan Ahmet E. Tekden Emre Ugur 109 5 0 09 Nov 2020
User-Dependent Neural Sequence Models for Continuous-Time Event Data Alex Boyd Robert Bamler Stephan Mandt Padhraic Smyth 39 20 0 06 Nov 2020
Quantized Variational Inference Amir Dib 50 1 0 04 Nov 2020
Transforming Gaussian Processes With Normalizing Flows Juan Maroñas Oliver Hamelijnck Jeremias Knoblauch Theodoros Damoulas 105 34 0 03 Nov 2020
Gaussian Process Bandit Optimization of the Thermodynamic Variational Objective Vu-Linh Nguyen Vaden Masrani Rob Brekelmans Michael A. Osborne Frank Wood 52 5 0 29 Oct 2020
A Bayesian Perspective on Training Speed and Model Selection Clare Lyle Lisa Schut Binxin Ru Y. Gal Mark van der Wilk 102 24 0 27 Oct 2020
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging He Sun Katherine Bouman UQCV 63 75 0 27 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 70 9 0 26 Oct 2020
Scalable Bayesian neural networks by layer-wise input augmentation Trung Trinh Samuel Kaski Markus Heinonen UQCV BDL 36 3 0 26 Oct 2020
Scalable Bayesian Optimization with Sparse Gaussian Process Models Ang Yang 50 0 0 26 Oct 2020